# Numpy recarray.fill() function | Python

In numpy, arrays may have a data-types containing fields, analogous to columns in a spreadsheet. An example is `[(a, int), (b, float)]`, where each entry in the array is a pair of (int, float). Normally, these attributes are accessed using dictionary lookups such as `arr['a'] and arr['b']`. Record arrays allow the fields to be accessed as members of the array, using `arr.a and arr.b`.

`numpy.recarray.fill() ` function fill the record array with a scalar value.

Syntax : `numpy.recarray.fill(value)`

Parameters:
value : [scalar] All elements of array will be assigned this value.

Return : Output array filled with value.

Code #1 :

 `# Python program explaining ` `# numpy.recarray.fill() method  ` ` `  `# importing numpy as geek ` `import` `numpy as geek ` ` `  `# creating input array with 2 different field  ` `in_arr ``=` `geek.array([(``5.0``, ``2``), (``3.0``, ``-``4``), (``6.0``, ``9``),], ` `                     ``dtype ``=``[(``'a'``, ``float``), (``'b'``, ``int``)]) ` ` `  `print` `(``"Input array : "``, in_arr) ` ` `  `# convert it to a record array, ` `# using arr.view(np.recarray) ` `rec_arr ``=` `in_arr.view(geek.recarray) ` `print``(``"Record array of float: "``, rec_arr.a) ` `print``(``"Record array of int: "``, rec_arr.b) ` ` `  `# applying recarray.fill methods ` `# to float record array  ` `rec_arr.a.fill(``5``) ` `print` `(``"Output filled array : "``, rec_arr.a)  ` ` `  `# applying recarray.fill methods  ` `# to int record array  ` `rec_arr.b.fill(``0``) ` `print` `(``"Output filled array : "``, rec_arr.b)  `

Output:

```Input array :  [(5.,  2) (3., -4) (6.,  9)]
Record array of float:  [5. 3. 6.]
Record array of int:  [ 2 -4  9]
Output filled array :  [5. 5. 5.]
Output filled array :  [0 0 0]
```

Code #2 :

We are applying `numpy.recarray.fill()` to whole record array.

 `# Python program explaining ` `# numpy.recarray.fill() method  ` ` `  `# importing numpy as geek ` `import` `numpy as geek ` ` `  `# creating input array with 2 different field  ` `in_arr ``=` `geek.array([[(``5.0``, ``2``), (``3.0``, ``4``), (``6.0``, ``-``7``)], ` `                     ``[(``9.0``, ``1``), (``6.0``, ``4``), (``-``2.0``, ``-``7``)]], ` `                     ``dtype ``=``[(``'a'``, ``float``), (``'b'``, ``int``)]) ` ` `  `print` `(``"Input array : "``, in_arr) ` ` `  `# convert it to a record array,  ` `# using arr.view(np.recarray) ` `rec_arr ``=` `in_arr.view(geek.recarray) ` ` `  `# applying recarray.fill methods to  record array ` `rec_arr.fill(``0``) ` ` `  `print` `(``"Output filled array : "``, rec_arr) `

Output:

```Input array :  [[( 5.,  2) ( 3.,  4) ( 6., -7)]
[( 9.,  1) ( 6.,  4) (-2., -7)]]
Output filled array :  [[(0., 0) (0., 0) (0., 0)]
[(0., 0) (0., 0) (0., 0)]]
```

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